Robot magic show: human–robot interaction

Abstract The use of robots in performance arts is increasing. But, it is hard for robots to cope with unexpected circumstances during a performance, and it is almost impossible for robots to act fully autonomously in such situations. IROS-HAC is a new challenge in robotics research and a new opportunity for cross-disciplinary collaborative research. In this paper, we describe a practical method for generating different personalities of a robot entertainer. The personalities are created by selecting speech or gestures from a set of options. The selection uses roulette wheel selection to select answers that are more closely aligned with the desired personality. In particular, we focus on a robot magician, as a good magic show includes good interaction with the audience and it may also include other robots and performers. The magician with a variety of personalities increased the audience immersion and appreciation and maintained the audience’s interest. The magic show was awarded first prize in the competition for a comprehensive evaluation of technology, story, and performance. This paper contains both the research methodology and a critical evaluation of our research.

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Individual Differences in Human-Robot Interaction in a Military Multitasking Environment

Journal of Cognitive Engineering and Decision Making ◽

10.1177/1555343411399070 ◽

2011 ◽

Vol 5 (1) ◽

pp. 83-105 ◽

Cited By ~ 5

Author(s):

Jessie Y. C. Chen

Keyword(s):

Task Performance ◽

Attentional Control ◽

Target Recognition ◽

Human Robot Interaction ◽

Automated Systems ◽

Robot Interaction ◽

Military Vehicle ◽

And Performance ◽

Modality Preference ◽

And Robotics

A military vehicle crew station environment was simulated and a series of three experiments was conducted to examine the workload and performance of the combined position of the gunner and robotics operator in a multitasking environment. The study also evaluated whether aided target recognition (AiTR) capabilities (delivered through tactile and/or visual cuing) for the gunnery task might benefit the concurrent robotics and communication tasks and how the concurrent task performance might be affected when the AiTR was unreliable (i.e., false alarm prone or miss prone). Participants’ spatial ability was consistently found to be a reliable predictor of their targeting task performance as well as their modality preference for the AiTR display. Participants’ attentional control was found to significantly affect the way they interacted with unreliable automated systems.

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Physical human-robot interaction: Dependability, safety, and performance

2008 10th IEEE International Workshop on Advanced Motion Control ◽

10.1109/amc.2008.4516033 ◽

2008 ◽

Cited By ~ 39

Author(s):

Antonio Bicchi ◽

Michele Bavaro ◽

Gianluca Boccadamo ◽

Davide De Carli ◽

Roberto Filippini ◽

...

Keyword(s):

Human Robot Interaction ◽

Robot Interaction ◽

And Performance

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Calibrating intuitive and natural human–robot interaction and performance for power-assisted heavy object manipulation using cognition-based intelligent admittance control schemes

International Journal of Advanced Robotic Systems ◽

10.1177/1729881418773190 ◽

2018 ◽

Vol 15 (4) ◽

pp. 172988141877319 ◽

Cited By ~ 3

Author(s):

S M Mizanoor Rahman ◽

Ryojun Ikeura

Keyword(s):

Predictive Control ◽

Optimization Algorithm ◽

Weight Perception ◽

Robotic System ◽

Human Robot Interaction ◽

Admittance Control ◽

Robot Interaction ◽

Heavy Object ◽

Control Scheme ◽

And Performance

In the first step, a one degree of freedom power assist robotic system is developed for lifting lightweight objects. Dynamics for human–robot co-manipulation is derived that includes human cognition, for example, weight perception. A novel admittance control scheme is derived using the weight perception–based dynamics. Human subjects lift a small-sized, lightweight object with the power assist robotic system. Human–robot interaction and system characteristics are analyzed. A comprehensive scheme is developed to evaluate the human–robot interaction and performance, and a constrained optimization algorithm is developed to determine the optimum human–robot interaction and performance. The results show that the inclusion of weight perception in the control helps achieve optimum human–robot interaction and performance for a set of hard constraints. In the second step, the same optimization algorithm and control scheme are used for lifting a heavy object with a multi-degree of freedom power assist robotic system. The results show that the human–robot interaction and performance for lifting the heavy object are not as good as that for lifting the lightweight object. Then, weight perception–based intelligent controls in the forms of model predictive control and vision-based variable admittance control are applied for lifting the heavy object. The results show that the intelligent controls enhance human–robot interaction and performance, help achieve optimum human–robot interaction and performance for a set of soft constraints, and produce similar human–robot interaction and performance as obtained for lifting the lightweight object. The human–robot interaction and performance for lifting the heavy object with power assist are treated as intuitive and natural because these are calibrated with those for lifting the lightweight object. The results also show that the variable admittance control outperforms the model predictive control. We also propose a method to adjust the variable admittance control for three degrees of freedom translational manipulation of heavy objects based on human intent recognition. The results are useful for developing controls of human friendly, high performance power assist robotic systems for heavy object manipulation in industries.

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The effect of human-robot interaction on trust, situational awareness, and performance in drone clearing operations

International Journal of Human Factors and Ergonomics ◽

10.1504/ijhfe.2019.10023925 ◽

2019 ◽

Vol 6 (2) ◽

pp. 103

Author(s):

Erik Danford Klein ◽

Gary Backous ◽

Thomas M. Schnieders ◽

Zhonglun Wang ◽

Richard T. Stone

Keyword(s):

Situational Awareness ◽

Human Robot Interaction ◽

Robot Interaction ◽

And Performance

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Artistic expression: freedom or curse?

The Age of Human Rights Journal ◽

10.17561/tahrj.v17.6269 ◽

2021 ◽

pp. 97-124

Author(s):

Sanja Djajić ◽

Dubravka Lazić

Keyword(s):

Freedom Of Expression ◽

Critical Evaluation ◽

Legal Protection ◽

Theory And Practice ◽

Political Freedom ◽

Artistic Expression ◽

Political Expression ◽

European Court ◽

Performance Arts ◽

And Performance

The purpose of this contribution is to evaluate the jurisprudence of the European Court of Human Rights (ECtHR) in freedom of artistic expression cases dealing with visual and performance arts. The reasons for this particular evaluation are salient to the fact that the ECtHR has consistently provided a lesser level of protection to artistic expression than to political expression. The aim of this article is to challenge the approach of the Court to the freedom of artistic expression in relation to visual and performance arts. The critical evaluation is based on two different but complementary grounds: contemporary theory of art critique of the ECtHR’s understanding of art and critique based on the ECtHR’s own political freedom of expression cases. The argument of the authors is that the ECtHR approach to visual and performance arts as an exercise in ethics and aesthetics is contradicted by contemporary art theory and practice which invariably assumes the societal role of art, its potential subversive and transformative function within a society at large, and, ultimately, its lato sensu political value. In addition, visual and performance arts are powerful yet fragile instruments for delivering the debate to society at large. Viewed from this perspective, artistic expression has the same beneficial effect on a democratic society as political expression stricto sensu. Therefore, the rationales underpinning protection of political expression are essentially the same as those of artistic expression, therefore the ECtHR should extend the same level of legal protection to arts and artists to keep valuable social dialogue alive.

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Robot Transparency and Anthropomorphic Attribute Effects on Human–Robot Interactions

Sensors ◽

10.3390/s21175722 ◽

2021 ◽

Vol 21 (17) ◽

pp. 5722

Author(s):

Jianmin Wang ◽

Yujia Liu ◽

Tianyang Yue ◽

Chengji Wang ◽

Jinjing Mao ◽

...

Keyword(s):

Human Robot Interaction ◽

Visual Channel ◽

Robot Interaction ◽

Textual Information ◽

Future Directions ◽

Amount Of Information ◽

Dual Channel ◽

And Performance ◽

The Voice ◽

Robot Communication

Anthropomorphic robots need to maintain effective and emotive communication with humans as automotive agents to establish and maintain effective human–robot performances and positive human experiences. Previous research has shown that the characteristics of robot communication positively affect human–robot interaction outcomes such as usability, trust, workload, and performance. In this study, we investigated the characteristics of transparency and anthropomorphism in robotic dual-channel communication, encompassing the voice channel (low or high, increasing the amount of information provided by textual information) and the visual channel (low or high, increasing the amount of information provided by expressive information). The results showed the benefits and limitations of increasing the transparency and anthropomorphism, demonstrating the significance of the careful implementation of transparency methods. The limitations and future directions are discussed.

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Stability and performance of human-robot interaction

10.1109/icsmc.1989.71345 ◽

2003 ◽

Cited By ~ 3

Author(s):

H. Kazerooni

Keyword(s):

Human Robot Interaction ◽

Robot Interaction ◽

And Performance

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Design and Modeling of Variable Stiffness Joints Based on Compliant Flexures

Volume 2: 34th Annual Mechanisms and Robotics Conference, Parts A and B ◽

10.1115/detc2010-28425 ◽

2010 ◽

Cited By ~ 2

Author(s):

Gianluca Palli ◽

Claudio Melchiorri ◽

Giovanni Berselli ◽

Gabriele Vassura

Keyword(s):

Compliant Mechanism ◽

Variable Stiffness ◽

Human Robot Interaction ◽

Robot Interaction ◽

Control Laws ◽

Compliant Behavior ◽

Stiffness Profile ◽

And Performance ◽

Definition Of ◽

Selection Of

The development of safe and dependable robots for physical human-robot interaction is actually changing the way robot are designed introducing several new technological issues. Outstanding examples are the adoption of soft covers and compliant transmissions or the definition of motion control laws that allow a compliant behavior in reaction to possible collisions, while preserving accuracy and performance during the motion in the free space. In this scenario, a growing interest is devoted to the study of variable stiffness joints. With the aim of improving the compactness and the flexibility of existing mechanical solutions, a variable stiffness joint based on the use of compliant flexures is investigated. The proposed concept allows the implementation of a desired stiffness profile and range along with the selection of the maximum joint deflection. In particular, this paper reports a systematic procedure for the synthesis of a fully-compliant mechanism used as a non-linear transmission, together with a preliminary design of the overall joint.

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